About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 439 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 233 roles with salary data.

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At a glance

TL;DR · Applied AI ML Senior Associate

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The Applied AI ML Senior Associate role at Chase’s Consumer Business Modeling team involves leveraging advanced quantitative techniques and extensive consumer data to solve complex business problems. This position requires developing machine learning models using Python or similar languages, analyzing large datasets, and presenting findings to senior management. Key responsibilities include contributing to the full modeling lifecycle from defining objectives to communicating results, becoming a subject matter expert in statistical and machine learning disciplines, and fostering a culture of continuous learning within the team. Candidates should have an advanced degree in a quantitative field, experience with big data environments like Hadoop or Spark, and proficiency in Python for model development on cloud platforms. The role addresses significant business challenges in banking and financial services at scale.

Skills

Python Hadoop Spark Machine Learning Statistical Models Optimization Models Big Data Cloud Development Platform Data Analysis Presentation Skills CI/CD

What you'll do

Apply advanced analytics to solve complex business problems.
Develop machine learning models using large datasets for real-world applications.
Contribute to the full modeling lifecycle from objective definition to result communication.
Generate actionable insights through data analysis and present them to senior management.
Act as a subject matter expert in statistical, optimization, or machine learning disciplines.

What we're looking for

Advanced degree in a quantitative field (Statistics, Data Science, Engineering, etc.)
Experience developing machine learning models for real-world problems
Proficiency in Python or another programming language
Strong analytical skills with experience working with large-scale data
Familiarity with big-data environments like Hadoop and Spark
Model development experience on cloud platforms
Banking & Financial Services background preferred